Senior Data Engineer
Tasks
- Build enterprise data pipelines for multiple domains
- Create and maintain data models for analytics and reporting
- Design develop and maintain enterprise data platform and data warehouse architecture
- Develop ETL ELT processes for trusted datasets
- Develop trusted datasets for dashboards and analytics
- Drive continuous improvement for scalability security and reliability
- Ensure secure compliant management of sensitive information
- Establish data quality standards and issue resolution processes
- Evaluate emerging data and AI technologies
- Implement monitoring validation and error handling for data reliability
- Lead data governance framework through council
- Lead foundational data capabilities for AI readiness
- Maintain documentation of sources lineage transformations and standards
- Partner with business clinical operational and technology leaders
- Support analytics enablement and decision support
Perks/Benefits
- Employee assistance program
- Health and dental benefits
- Perkopolis
- Professional growth opportunities
- Rewards Points
Skills/Tech-stack
AWS | Azure | Azure Synapse | Cloud Computing | Data Architecture | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Quality Management | Data Security | Data Warehousing | Data integration | Databricks | ELT | ETL | FHIR | Google Cloud | HL7 | Healthcare Data | Healthcare data privacy | ICD | Looker | PII | Phi | Power BI | Python | Quality management | Relational databases | SQL | Snowflake | Tableau
Education
N/A
Roles
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